The specialty pharma market is projected to approach $10 billion by 2035, and the companies that will capture the largest share of that market are the ones that deliver a patient experience consistent with their brand promise. The problem is that most manufacturers have a significant gap between the experience they promise and the experience patients actually receive during their interactions with hub teams, case managers, and support programs.
At Hub West 2026, leaders from Valeris explored how operational intelligence is closing that gap by shifting patient support from a retrospective, report-driven function to a real-time, interaction-level capability.
The Retrospective Reporting Trap
Most patient support organizations measure quality by reviewing a sample of interactions after they have occurred. Call recordings are scored, emails are audited, and case files are reviewed, all days or weeks after the patient interaction happened. The findings go into a monthly report. The report goes into a quarterly review. And the patient who had a subpar experience three months ago has long since made their decision about whether to stay on therapy.
This retrospective model has a fundamental flaw: it identifies problems too late to fix them for the patient who experienced them. The data is useful for trend analysis and training improvements, but it does not change the interaction that just happened.
The Shift to Real-Time Operational Intelligence
The next evolution of patient support requires a fundamentally different operating model, one that provides guidance, intelligence, and coaching to support teams while the interaction is happening, not after it is over.
Real-time operational intelligence works by analyzing the content and context of patient interactions as they unfold, identifying moments where the interaction is drifting from quality standards or missing key elements, and providing in-the-moment guidance to the support team member. This might include reminders to address specific access barriers, prompts to provide required disclosures, suggestions for additional resources the patient may need, or escalation alerts when the interaction requires supervisor involvement.
The results from early adopters are measurable: improved consistency across support teams, faster identification of process breakdowns, and higher patient satisfaction scores. More importantly, these improvements compound over time as the intelligence system learns from patterns in interactions and continuously refines its guidance.
What “Consistent” Actually Means to a Patient
From the patient’s perspective, consistency means that every interaction with a brand’s support ecosystem, whether it is a first call to the hub, a follow-up from a case manager, a message from the specialty pharmacy, or an outreach from a field reimbursement manager, delivers the same level of knowledge, empathy, and helpfulness.
In practice, this is extraordinarily difficult to achieve. Support teams are staffed by human beings with varying levels of experience, training, and expertise. They handle complex, emotionally charged conversations with patients who are often anxious, confused, or frustrated. And they do this across a portfolio of products, each with different access pathways, payer requirements, and clinical considerations.
Operational intelligence does not replace the human elements that matter most in patient support: empathy, judgment, and genuine care. It provides a scaffolding that helps every team member deliver their best work, every time, regardless of their experience level or the complexity of the situation.
Where Physician-Led Education Ensures Consistency
At Hoot, we approach the consistency challenge from the clinical education side. When a patient receives a short educational video from their own doctor, the quality, accuracy, and tone of that communication are locked in. There is no variability between one patient’s experience and another’s. The same physician, delivering the same clinically accurate message, at the same point in the therapy journey.
This is a form of operational consistency that does not depend on training, coaching, or real-time guidance, because the content is created once by the treating physician and delivered automatically to every patient. It complements the work of hub teams and case managers by ensuring that the clinical education layer of the patient experience is consistently excellent, freeing support teams to focus on the access and navigation challenges where their expertise adds the most value.
For manufacturers seeking to close the gap between brand promise and patient experience, the combination of real-time operational intelligence for support teams and physician-led education for patients creates a comprehensive approach that addresses both sides of the interaction.